noname

[noname @Glauraaa_]

https://t.co/v6ZcF5C7k5

[Karun Pal @karunpal]

Study yourself. Your Patterns. Habits. Compulsions. Trauma. Anxieties. Insecurities. Addictions. Once you see them, the unconscious becomes conscious. And the moment you know what they are and how they control you, you awaken. You become unstoppable.

[aether @bluewdrift]

stop ignoring yourself. fix your posture. get a fresh hair cut. take care of your skin. drink water. eat food that gives you energy. get fit. stop looking sloppy. when you look good. you feel good. when you feel good. you do good. put in the effort. invest in yourself. it's good for your energy.

[Curious Minds @CuriousMindsHub]

Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.
Repetition changes your brain.

That’s why it works.

[Shabnam Parveen @shabnam_774]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Katyayani Shukla @aibytekat]

This guy literally teaches you how to learn complex skills

[Brian Roemmele @BrianRoemmele]

BOOOOOOOM!

CHINA DEEPSEEK DOES IT AGAIN!

An entire encyclopedia compressed into a single, high-resolution image!

—

A mind-blowing breakthrough. DeepSeek-OCR, unleashed an electrifying 3-billion-parameter vision-language model that obliterates the boundaries between text and vision with jaw-dropping optical compression!

This isn’t just an OCR upgrade—it’s a seismic paradigm shift, on how machines perceive and conquer data.

DeepSeek-OCR crushes long documents into vision tokens with a staggering 97% decoding precision at a 10x compression ratio!

That’s thousands of textual tokens distilled into a mere 100 vision tokens per page, outmuscling GOT-OCR2.0 (256 tokens) and MinerU2.0 (6,000 tokens) by up to 60x fewer tokens on the OmniDocBench.

It’s like compressing an entire encyclopedia into a single, high-definition snapshot—mind-boggling efficiency at its peak!

At the core of this insanity is the DeepEncoder, a turbocharged fusion of the SAM (Segment Anything Model) and CLIP (Contrastive Language��Image Pretraining) backbones, supercharged by a 16x convolutional compressor.

This maintains high-resolution perception while slashing activation memory, transforming thousands of image patches into a lean 100-200 vision tokens.

Get ready for the multi-resolution "Gundam" mode—scaling from 512x512 to a monstrous 1280x1280 pixels!

It blends local tiles with a global view, tackling invoices, blueprints, and newspapers with zero retraining. It’s a shape-shifting computational marvel, mirroring the human eye’s dynamic focus with pixel-perfect precision!

The training data?

Supplied by the Chinese government for free and not available to any US company.

You understand now why I have said the US needs a Manhattan Project for AI training data? Do you hear me now? Oh still no? I’ll continue.

Over 30 million PDF pages across 100 languages, spiked with 10 million natural scene OCR samples, 10 million charts, 5 million chemical formulas, and 1 million geometry problems!.

This model doesn’t just read—it devours scientific diagrams and equations, turning raw data into a multidimensional knowledge.

Throughput? Prepare to be floored—over 200,000 pages per day on a single NVIDIA A100 GPU! This scalability is a game-changer, turning LLM data generation into a firehose of innovation, democratizing access to terabytes of insight for every AI pioneer out there.

This optical compression is the holy grail for LLM long-context woes. Imagine a million-token document shrunk into a 100,000-token visual map—DeepSeek-OCR reimagines context as a perceptual playground, paving the way for a GPT-5 that processes documents like a supercharged visual cortex!

The two-stage architecture is pure engineering poetry: DeepEncoder generates tokens, while a Mixture-of-Experts decoder spits out structured Markdown with multilingual flair. It’s a universal translator for the visual-textual multiverse, optimized for global domination!

Benchmarks? DeepSeek-OCR obliterates GOT-OCR2.0 and MinerU2.0, holding 60% accuracy at 20x compression! This opens a portal to applications once thought impossible—pushing the boundaries of computational physics into uncharted territory!

Live document analysis, streaming OCR for accessibility, and real-time translation with visual context are now economically viable, thanks to this compression breakthrough. It’s a real-time revolution, ready to transform our digital ecosystem!

This paper is a blueprint for the future—proving text can be visually compressed 10x for long-term memory and reasoning. It’s a clarion call for a new AI era where perception trumps text, and models like GPT-5 see documents in a single, glorious glance.

I am experimenting with this now on 1870-1970 offline data that I have digitalized.

But be ready for a revolution!

More soon.

[1] https://t.co/wItN5iRQ91

[Alex Veremeyenko @alex_verem]

This might be the most disturbing AI paper of 2025 ☠️

Scientists just proved that large language models can literally rot their own brains the same way humans get brain rot from scrolling junk content online.

They fed models months of viral Twitter data short, high-engagement posts and watched their cognition collapse:

- Reasoning fell by 23%
- Long-context memory dropped 30%
- Personality tests showed spikes in narcissism & psychopathy

And get this even after retraining on clean, high-quality data, the damage didn’t fully heal.

The representational “rot” persisted.

It’s not just bad data → bad output.
It’s bad data → permanent cognitive drift.

The AI equivalent of doomscrolling is real. And it’s already happening.

Full study: llm-brain-rot. github. io

[Miss Ririn_English @hermionyyye]

TRIK INGET 12 TENSES DALAM 5 MENIT — versi paling cepat dan gampang kamu hafal dan inget‼️

LANGKAH 1: PAHAMI POLA DASAR

Semua tenses cuma gabungan dari 3 waktu dan 4 bentuk:
- 3 WAKTU = present (sekarang), past (dulu), future (akan datang)
- 4 BENTUK = simple, continuous, perfect, perfect continuous

Artinya cuma begini:
- Simple → kebiasaan atau fakta
- Continuous → sedang berlangsung
- Perfect → sudah selesai (ada hasil)
- Perfect Continuous → sudah + sedang berlangsung

LANGKAH 2: INGAT POLA DASAR SETIAP WAKTU

PRESENT (sekarang)
Kata kunci: am / is / are dan have / has
1. Simple Present: "I eat." → kebiasaan
2. Present Continuous: "I am eating." → sedang dilakukan sekarang
3. Present Perfect: "I have eaten." → sudah dilakukan
4. Present Perfect Continuous: "I have been eating." → sudah dari tadi sampai sekarang
Ingat!: kalau sekarang, pasti ada am/is/are atau have/has

PAST (dulu)
Kata kunci: was / were dan had
1. Simple Past: “I ate.” → dulu sudah
2. Past Continuous: “I was eating.” → dulu sedang
3. Past Perfect: “I had eaten.” → duluan selesai sebelum yang lain
4. Past Perfect Continuous: “I had been eating.” → sudah dari dulu dan terus berlangsung
Ingat!: kalau dulu, selalu was/were atau had

FUTURE (akan datang)
Kata kunci: will dan will have
Simple Future: “I will eat.” → akan
Future Continuous: “I will be eating.” → akan sedang
Future Perfect: “I will have eaten.” → akan sudah selesai
Future Perfect Continuous: “I will have been eating.” → akan sudah dari tadi (masa depan)
Ingat: kalau nanti, pasti ada will

[Fildzah NF 🌵🇵🇸 @theMbapiltwt]

Inget ya gaes, "overpopulasi" tuh masalah bikinan kapitalisme & hedonisme 😀
Tuhan udh mencukupkan sumber daya bumi buat semua orang, tp krn ada yg punya rumah ke-5, mobil ke-11, lahan ke-20, & hasil tambang utk dinikmati sendiri... Itu semua jd ga cukup 😀🙏

[Nicki 🫧🪷 @nickimoraa]

Please teach your daughters that there is more to life than male attention.

[blue @bluewmist]

what you do in private, shows in public. reading shows in a conversation. your diet shows in energy. your discipline shows in confidence. your focus shows in your results. you are what you cultivate when no one is watching. prioritize your time & focus on discipline/ consistency.

[noname @Glauraaa_]

Try againn….
https://t.co/LJ512uWmrr via @YouTube

[𐌁𐌉Ᏽ 𐌕𐌉𐌌𐌉 @OrevaZSN]

Sometimes you just need a Saturday to sleep all day and do absolutely nothing.

[Raj Shamani @rajshamani]

Your brain deletes information you don't use regularly. That's why you lose skills when you stop practising, not because you lost the ability. You didn't lose your talent, you just got lazy.

[Sahil Bloom @SahilBloom]

The older I get, the more I realize your standards decide your future. Every time you let something slide “just this once,” you train yourself to accept less. That’s how goals erode. That's how principles slip. Set your standards. Hold the line. Especially when it’s hard.

[Justin Bieber @justinbieber]

Jesus teaches that our effort is simply a response

To being gifted life and forgiveness

Jesus becomes the prize

And growth becomes something you desire because of the grace we have received

[Usagi hidup ngojoll @jinxyuann]

@ttuturbatin Go change my mind, but mostly anak aiesec lebih peduli sama relasi and lebih kayak perkumpulan anak orang kaya dengan embel peduli

[lilith⚢ @heavenlilyth]

Anak aiesec in my organisasi uni was so out of touch dia bilang, "coba mereka sisihin dikit-dikit uang penghasilan buat investasi pasti bisa berkembang" about penjual kaki lima yang kena razia satpol pp dan gada penghasilan krn ga jualan sebulan

[Lisa @elisabetguwanto]

kalian yang suka baca artikel2 di Medium, coba download app ini deh!

namanya Substack 🤩

banyak personal essays yg bikin mikir & refleksi, menurutku mirip2 Medium tapi somehow kerasa lebih personal & "unfiltered"